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Cihan Demircan
Süleyman Demirel University

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Journal article
Published: 01 February 2020 in Sustainable Energy Technologies and Assessments
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ACS Style

Cihan Demircan; Hilmi Cenk Bayrakçı; Ali Keçebaş. Machine learning-based improvement of empiric models for an accurate estimating process of global solar radiation. Sustainable Energy Technologies and Assessments 2020, 37, 1 .

AMA Style

Cihan Demircan, Hilmi Cenk Bayrakçı, Ali Keçebaş. Machine learning-based improvement of empiric models for an accurate estimating process of global solar radiation. Sustainable Energy Technologies and Assessments. 2020; 37 ():1.

Chicago/Turabian Style

Cihan Demircan; Hilmi Cenk Bayrakçı; Ali Keçebaş. 2020. "Machine learning-based improvement of empiric models for an accurate estimating process of global solar radiation." Sustainable Energy Technologies and Assessments 37, no. : 1.

Chapter
Published: 31 July 2019 in Smart and Sustainable Planning for Cities and Regions
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Photovoltaic (PV) modules directly convert the solar energy into electricity with electrical efficiency in 10–20%. The rest of the incident solar radiation reflects from front surface and converts into thermal energy which leads to an increase in the PV module temperature. Thus, PV module efficiency decreases. PV power production can be increased with utilize of thermal energy or cooling of PV module. Photovoltaic–thermal (PV/T) technologies provide both electricity and thermal energy. PV/T absorbs thermal energy from PV module which may lead to decrease the PV module temperature. Thus, its electrical efficiency is higher with respect to PV systems. However, PV/T collectors suffer for high capital costs. To improve their profitability, many concentrating PV (CPV) have been developed to increase the incident solar radiation on the PV surface, simultaneously reducing PV material for unit receiver area. Both electricity and thermal energy from the sun more effectively is used with this mechanism called concentrating photovoltaic–thermal (CPVT) technology. This chapter focuses on artificial bee colony (ABC)-based global maximum power point tracking (GMPPT) for PV string structures in a bifacial CPVT system. This power conditioning unit is applied to bifacial CPVT system for efficient utilization of solar energy under four different non-homogeneous solar radiation and module temperature operating conditions.

ACS Style

Cihan Demircan; Ali Keçebaş; Hilmi Cenk Bayrakçı. Artificial Bee Colony-Based GMPPT for Non-homogeneous Operating Conditions in a Bifacial CPVT System. Smart and Sustainable Planning for Cities and Regions 2019, 331 -353.

AMA Style

Cihan Demircan, Ali Keçebaş, Hilmi Cenk Bayrakçı. Artificial Bee Colony-Based GMPPT for Non-homogeneous Operating Conditions in a Bifacial CPVT System. Smart and Sustainable Planning for Cities and Regions. 2019; ():331-353.

Chicago/Turabian Style

Cihan Demircan; Ali Keçebaş; Hilmi Cenk Bayrakçı. 2019. "Artificial Bee Colony-Based GMPPT for Non-homogeneous Operating Conditions in a Bifacial CPVT System." Smart and Sustainable Planning for Cities and Regions , no. : 331-353.

Journal article
Published: 01 August 2018 in Energy
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In this study, the thermodynamic performance of a binary geothermal power plant (GPP) is comparatively evaluated using the exergy analysis and optimization method. Thus, in addition to routes to improve the thermodynamic performance of the system, the thermodynamic relationships between the system components and improvement performances of the components are determined. With this aim, the Sinem GPP located in Aydın province in Turkey as a real system is selected. All data from the system are collected and a numerical model simulating the real system is developed. On the developed model, the conventional and advanced exergy analyses for exergy analysis and the artificial bee colony (ABC) method for optimization process are performed. The results of the study show that total exergy efficiencies of the conventional exergy analysis, advanced exergy analysis and artificial bee colony are determined as 39.1%, 43.1% and 42.8%, respectively. The exergy efficiency obtained from advanced exergy analysis is higher compared to the other two methods. This is due to the fact that theoretical and unavoidable operation assumptions in advanced exergy analysis are arbitrary as a single value depending on the decision maker. However, decision variables in the ABC method are within certain constraints chosen by the decision maker. It is better to select constraint limits instead of an arbitrary single value selection. Therefore, its arbitrary values should be confirmed with any optimization method. Additionally, the highest exergy destruction identified in the three methods is occurred in heat exchangers as the condenser and vaporizer.

ACS Style

Osman Özkaraca; Ali Keçebaş; Cihan Demircan. Comparative thermodynamic evaluation of a geothermal power plant by using the advanced exergy and artificial bee colony methods. Energy 2018, 156, 169 -180.

AMA Style

Osman Özkaraca, Ali Keçebaş, Cihan Demircan. Comparative thermodynamic evaluation of a geothermal power plant by using the advanced exergy and artificial bee colony methods. Energy. 2018; 156 ():169-180.

Chicago/Turabian Style

Osman Özkaraca; Ali Keçebaş; Cihan Demircan. 2018. "Comparative thermodynamic evaluation of a geothermal power plant by using the advanced exergy and artificial bee colony methods." Energy 156, no. : 169-180.

Journal article
Published: 01 January 2018 in Renewable and Sustainable Energy Reviews
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ACS Style

Hilmi Cenk Bayrakçı; Cihan Demircan; Ali Keçebaş. The development of empirical models for estimating global solar radiation on horizontal surface: A case study. Renewable and Sustainable Energy Reviews 2018, 81, 2771 -2782.

AMA Style

Hilmi Cenk Bayrakçı, Cihan Demircan, Ali Keçebaş. The development of empirical models for estimating global solar radiation on horizontal surface: A case study. Renewable and Sustainable Energy Reviews. 2018; 81 ():2771-2782.

Chicago/Turabian Style

Hilmi Cenk Bayrakçı; Cihan Demircan; Ali Keçebaş. 2018. "The development of empirical models for estimating global solar radiation on horizontal surface: A case study." Renewable and Sustainable Energy Reviews 81, no. : 2771-2782.

Journal article
Published: 25 October 2017 in Energies
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Geothermal energy is a renewable form of energy, however due to misuse, processing and management issues, it is necessary to use the resource more efficiently. To increase energy efficiency, energy systems engineers carry out careful energy control studies and offer alternative solutions. With this aim, this study was conducted to improve the performance of a real operating air-cooled organic Rankine cycle binary geothermal power plant (GPP) and its components in the aspects of thermodynamic modeling, exergy analysis and optimization processes. In-depth information is obtained about the exergy (maximum work a system can make), exergy losses and destruction at the power plant and its components. Thus the performance of the power plant may be predicted with reasonable accuracy and better understanding is gained for the physical process to be used in improving the performance of the power plant. The results of the exergy analysis show that total exergy production rate and exergy efficiency of the GPP are 21 MW and 14.52%, respectively, after removing parasitic loads. The highest amount of exergy destruction occurs, respectively, in condenser 2, vaporizer HH2, condenser 1, pumps 1 and 2 as components requiring priority performance improvement. To maximize the system exergy efficiency, the artificial bee colony (ABC) is applied to the model that simulates the actual GPP. Under all the optimization conditions, the maximum exergy efficiency for the GPP and its components is obtained. Two of these conditions such as Case 4 related to the turbine and Case 12 related to the condenser have the best performance. As a result, the ABC optimization method provides better quality information than exergy analysis. Based on the guidance of this study, the performance of power plants based on geothermal energy and other energy resources may be improved.

ACS Style

Osman Özkaraca; Pınar Keçebaş; Cihan Demircan; Ali Keçebaş. Thermodynamic Optimization of a Geothermal- Based Organic Rankine Cycle System Using an Artificial Bee Colony Algorithm. Energies 2017, 10, 1691 .

AMA Style

Osman Özkaraca, Pınar Keçebaş, Cihan Demircan, Ali Keçebaş. Thermodynamic Optimization of a Geothermal- Based Organic Rankine Cycle System Using an Artificial Bee Colony Algorithm. Energies. 2017; 10 (11):1691.

Chicago/Turabian Style

Osman Özkaraca; Pınar Keçebaş; Cihan Demircan; Ali Keçebaş. 2017. "Thermodynamic Optimization of a Geothermal- Based Organic Rankine Cycle System Using an Artificial Bee Colony Algorithm." Energies 10, no. 11: 1691.

Journal article
Published: 01 March 2017 in Energy
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ACS Style

Ali Daşdemir; Mustafa Ertürk; Ali Keçebaş; Cihan Demircan. Effects of air gap on insulation thickness and life cycle costs for different pipe diameters in pipeline. Energy 2017, 122, 492 -504.

AMA Style

Ali Daşdemir, Mustafa Ertürk, Ali Keçebaş, Cihan Demircan. Effects of air gap on insulation thickness and life cycle costs for different pipe diameters in pipeline. Energy. 2017; 122 ():492-504.

Chicago/Turabian Style

Ali Daşdemir; Mustafa Ertürk; Ali Keçebaş; Cihan Demircan. 2017. "Effects of air gap on insulation thickness and life cycle costs for different pipe diameters in pipeline." Energy 122, no. : 492-504.

Journal article
Published: 01 May 2016 in Applied Thermal Engineering
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• Determining optimum insulation thickness (OIT) of a pipe using LCA analysis for the first time. • Comprising the LCC analysis to evaluate accuracy of the LCA analysis in pipe insulation. • The OIT of the LCA analysis are overestimated by up to eight fold from that of the LCC • The LCC analysis should be supported with the LCA analysis for environmental impact reduction. This paper reports on the use of a new method to evaluate the optimal insulation thickness according to life cycle assessment (LCA) in pipe insulation applications. In this study, the optimum insulation thickness in the pipes is analysed based on two different methods (life cycle assessment - LCA and life cycle cost - LCC) used to determine the optimum insulation thickness for the environmental impact reduction of pipe insulation. Thus, the LCC analysis is used to evaluate the accuracy of this new method; data are collected from the insulation and energy markets, and the results are compared. The effects on the environmental and cost parameters of insulation thickness are also discussed in detail. The results indicate that the total environmental impacts are almost the same values in both methods, while the optimum insulation thickness is overestimated by up to eight-fold in the LCA analysis. As a result, the LCC analysis can be used in the determination of the optimum insulation thickness; however, it must be supported with the LCA analysis for environmental impact reduction.

ACS Style

Yusuf Başoğul; Cihan Demircan; Ali Keçebaş. Determination of optimum insulation thickness for environmental impact reduction of pipe insulation. Applied Thermal Engineering 2016, 101, 121 -130.

AMA Style

Yusuf Başoğul, Cihan Demircan, Ali Keçebaş. Determination of optimum insulation thickness for environmental impact reduction of pipe insulation. Applied Thermal Engineering. 2016; 101 ():121-130.

Chicago/Turabian Style

Yusuf Başoğul; Cihan Demircan; Ali Keçebaş. 2016. "Determination of optimum insulation thickness for environmental impact reduction of pipe insulation." Applied Thermal Engineering 101, no. : 121-130.

Journal article
Published: 01 December 2015 in Solar Energy
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The first BIPV system of Turkey was installed on the façade and two towers of the Staff’s Block of Education Faculty building of Mugla Sıtkı Koçman University in February 2008. The PV systems cover 405 m2 (60 tilted surface and two vertical towers on east and west sides of the building) with single and triple junction amorphous (3j-aSi) photovoltaic modules. The total installed power of the BIPV system is 40.3 kWp. Total cumulative produced electricity of the BIPV system at the end of 2014 from the start up is exceeding 200,000 kW h. In this work, the shading effect on the performance of two PV systems based on 3j-aSi photovoltaic modules on the façade is analysed. There are 5 rows on the façade of the building and two identical strings’ energy rating values are compared. One string has only row shading but the second string has smaller shading. In this comparison it is found that energetic performances so called energy rating (kW h/kWp) values of the arrays differ 16% for an annual average between 10% and 24% monthly intervals. In winter months the shading effect is caused by the tree is less than 1% in the electricity yield where there is no row shading in winter months. But in summer months (because of the height of the sun) the calculated energy yield difference is about 15%. In 21st of June between 9.00 and 13.00 it is calculated that the output between the inverters is 15% where there is no shading because of the tree all shading is from the upper rows. PV data is collected with a Sunlog data logger. Daily power and electricity production values and the shading effect on different seasons are also analysed.

ACS Style

Rustu Eke; Cihan Demircan. Shading effect on the energy rating of two identical PV systems on a building façade. Solar Energy 2015, 122, 48 -57.

AMA Style

Rustu Eke, Cihan Demircan. Shading effect on the energy rating of two identical PV systems on a building façade. Solar Energy. 2015; 122 ():48-57.

Chicago/Turabian Style

Rustu Eke; Cihan Demircan. 2015. "Shading effect on the energy rating of two identical PV systems on a building façade." Solar Energy 122, no. : 48-57.